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Learn to create memory-safe C/C++ applications using pointers and dynamic memory. Implement Big 3/5, manipulate pointers, and optimize performance in this hands-on project.
Learn to forecast product prices using Facebook Prophet, covering data preparation, model development, and prediction techniques for practical applications in various industries.
Learn to classify movie reviews as positive or negative using sentiment analysis and logistic regression with scikit-learn on the IMDB dataset. Build a practical model for document classification.
Learn to set up and optimize Google Ads Display Campaigns, including strategy, targeting, and responsive ad creation for effective digital marketing.
Learn to clean, preprocess, and cluster geolocation data using K-Means, DBSCAN, and HDBSCAN algorithms. Visualize results interactively and evaluate model performance for improved spatial analysis.
Create a professional flier using graphic design principles in Google Slides. Learn typography, imagery, color theory, and layout techniques to produce an effective networking event flier.
Boost coding efficiency with advanced Python techniques, enhancing productivity for data scientists, engineers, and hobbyists alike.
Explore Transformer-based NLP by fine-tuning GPT-2. Learn about its history, architecture, data collection, and training process. Discuss future applications and use cases.
Learn essential data analysis skills using Google Spreadsheets, including data import, formulas, functions, sorting, filtering, and cell referencing for efficient spreadsheet management and analysis.
Create replicable local development environments for two communicating servers using Docker containers, automating setup and avoiding dependency issues.
Learn Python implementations of feature selection techniques like correlation filtering, RFE, and PCA using Scikit-Learn on the Pima Diabetes dataset.
Learn to create interactive, collaborative virtual lessons using Google Jamboard for enhanced student engagement and differentiated instruction in real-time.
Create interactive geographical plots to enhance data science projects using Python's geo-visualization tools.
Learn to build and train Convolutional Neural Networks for traffic sign classification, with practical applications in self-driving cars. Covers image processing, model creation, and performance evaluation.
Learn to code for quantum computers using Qiskit, executing on simulators and real devices. Implement quantum algorithms outperforming classical counterparts in this hands-on project.
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